| Silva: Interactively assessing machine learning fairness using causality JN Yan, Z Gu, H Lin, JM Rzeszotarski Proceedings of the 2020 chi conference on human factors in computing systems …, 2020 | 61 | 2020 |
| Dataprep.eda: Task-centric exploratory data analysis for statistical modeling in python J Peng, W Wu, B Lockhart, S Bian, JN Yan, L Xu, Z Chi, JM Rzeszotarski, ... Proceedings of the 2021 International Conference on Management of Data, 2271 …, 2021 | 46 | 2021 |
| Pretraining Without Attention J Wang, JN Yan, A Gu, AM Rush EMNLP 2024 Findings, 2022 | 42 | 2022 |
| Scoded: Statistical constraint oriented data error detection JN Yan, O Schulte, MH Zhang, J Wang, R Cheng Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 35* | 2020 |
| Entity-Based Query Recommendation for Long-Tail Queries Z Huang, B Cautis, R Cheng, Y Zheng, N Mamoulis, JN Yan ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (6), 64, 2018 | 31 | 2018 |
| Diffusion Models Without Attention JN Yan*, J Gu*, AM Rush CVPR 2024, 2023 | 22 | 2023 |
| Mambabyte: Token-free selective state space model J Wang, T Gangavarapu, JN Yan, AM Rush arXiv preprint arXiv:2401.13660, 2024 | 20 | 2024 |
| Tessera: Discretizing data analysis workflows on a task level JN Yan, Z Gu, JM Rzeszotarski Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021 | 16 | 2021 |
| Understanding User Sensemaking in Machine Learning Fairness Assessment Systems Z Gu, JN Yan, JM Rzeszotarski Proceedings of the Web Conference 2021, 658-668, 2021 | 10 | 2021 |
| Maximizing social influence for the awareness threshold model H Sun, R Cheng, X Xiao, JN Yan, Y Zheng, Y Qian International Conference on Database Systems for Advanced Applications, 491-510, 2018 | 8 | 2018 |
| SEQ: Example-based Query for Spatial Objects S Luo, J Hu, R Cheng, JN Yan, B Kao Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 5 | 2017 |
| Explanation-aware soft ensemble empowers large language model in-context learning Y Yu, J Shen, T Liu, Z Qin, JN Yan, J Liu, C Zhang, M Bendersky ACL 2024, 2023 | 4 | 2023 |
| TimelineQA: A benchmark for question answering over timelines WC Tan, J Dwivedi-Yu, Y Li, L Mathias, M Saeidi, JN Yan, AY Halevy arXiv preprint arXiv:2306.01069, 2023 | 4 | 2023 |
| EG4D: Explicit Generation of 4D Object without Score Distillation Q Sun, Z Guo, Z Wan, JN Yan, S Yin, W Zhou, J Liao, H Li arXiv preprint arXiv:2405.18132, 2024 | 2 | 2024 |
| Example-based spatial search at scale H Zhang, S Luo, J Shi, JN Yan, W Sun 2022 IEEE 38th International Conference on Data Engineering (ICDE), 539-551, 2022 | 2 | 2022 |
| Meta paths and meta structures: Analysing large heterogeneous information networks R Cheng, Z Huang, Y Zheng, JN Yan, KY Wong, E Ng Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2017 | 2 | 2017 |
| Predicting Text Preference Via Structured Comparative Reasoning JN Yan, T Liu, JT Chiu, J Shen, Z Qin, Y Yu, Y Zhao, C Lakshmanan, ... ACL 2024, 2023 | 1* | 2023 |
| A survey on mining heterogeneous information network J Yan, X Li COMP8101 Advanced Topics in Data Engineering, 2018 | 1 | 2018 |
| User Interfaces for Exploratory Data Analysis: A Survey of Open-Source and Commercial Tools. J Peng, W Wu, JN Yan, D Qi, JM Rzeszotarski, J Wang IEEE Data Eng. Bull. 45 (3), 116-128, 2022 | | 2022 |
| Distributed Algorithms for Linear MDP J Duan, J Wang, JN Yan, W Yoo | | |
Jeffrey M RzeszotarskiSchool of Information Science, Cornell University在 cornell.edu 的电子邮件经过验证
